METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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accepted
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not accepted
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rejected
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not to be rejected
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Detailed explanation-1: -If the p-value is less than or equal to the specified significance level , the null hypothesis is rejected; otherwise, the null hypothesis is not rejected. In other words, if p≤, reject H0; otherwise, if p> do not reject H0.
Detailed explanation-2: -If the P-value is small, say less than (or equal to), then it is “unlikely.” And, if the P-value is large, say more than, then it is “likely.” If the P-value is less than (or equal to), then the null hypothesis is rejected in favor of the alternative hypothesis.
Detailed explanation-3: -As the p-value is 0.02 and less than the alpha of 0.05, the researcher rejects the null hypothesis because there is statistical significance. By rejecting the null hypothesis, the researcher accepts the alternative hypothesis.